{"id":"https://openalex.org/W4406259950","doi":"https://doi.org/10.1109/bibm62325.2024.10822580","title":"MAT: Medical AI-generated Text Detection Dataset from Multi-models and Multi-Methods","display_name":"MAT: Medical AI-generated Text Detection Dataset from Multi-models and Multi-Methods","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406259950","doi":"https://doi.org/10.1109/bibm62325.2024.10822580"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020681500","display_name":"Bo Xu","orcid":"https://orcid.org/0000-0002-2083-4307"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Xu","raw_affiliation_strings":["Dalian University of Technology,School of Software,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022698642","display_name":"Ruiyuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiyuan Wang","raw_affiliation_strings":["Dalian University of Technology,School of Software,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002361911","display_name":"L PING","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingfan Ping","raw_affiliation_strings":["Dalian University of Technology,School of Software,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022519731","display_name":"Chaoyue Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyue Zhu","raw_affiliation_strings":["Dalian University of Technology,School of Software,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705977","display_name":"Xiaoxia Liu","orcid":"https://orcid.org/0000-0002-7693-4665"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoxia Liu","raw_affiliation_strings":["Stanford University,Department of Neurology and Neurological Sciences,California,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Neurology and Neurological Sciences,California,USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023931221","display_name":"Hongfei Lin","orcid":"https://orcid.org/0000-0003-0872-7688"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfei Lin","raw_affiliation_strings":["Dalian University of Technology,School of Software,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014443173","display_name":"Linlin Tian","orcid":"https://orcid.org/0000-0001-9504-1718"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Tian","raw_affiliation_strings":["Dalian University of Technology,College of Computer Science and Technology,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,College of Computer Science and Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082766103","display_name":"Feng Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Feng Xia","raw_affiliation_strings":["RMIT University,Australia School of Computing Technologies,Melbourne,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RMIT University,Australia School of Computing Technologies,Melbourne,Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2748","last_page":"2753"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.6621999740600586,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.6621999740600586,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.588100016117096,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7299737930297852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4881316125392914},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37623316049575806}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7299737930297852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4881316125392914},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37623316049575806}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2997200074","https://openalex.org/W4319460874","https://openalex.org/W4380685958","https://openalex.org/W4381930847","https://openalex.org/W4400531953","https://openalex.org/W6761910064","https://openalex.org/W6766673545","https://openalex.org/W6798182279","https://openalex.org/W6798398338","https://openalex.org/W6810738896","https://openalex.org/W6838577035","https://openalex.org/W6849274154","https://openalex.org/W6851436514","https://openalex.org/W6856186537","https://openalex.org/W6869594815"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2,159],"(LLMs)":[3],"have":[4,203],"been":[5],"widely":[6],"used":[7,109],"in":[8,54,110,122,146,199],"society":[9],"due":[10],"to":[11,77,92,119,179,192],"their":[12],"amazing":[13],"emergent":[14],"capabilities,":[15],"but":[16],"they":[17],"also":[18],"bring":[19],"security":[20],"issues.":[21],"A":[22],"large":[23],"amount":[24],"of":[25,47,81,96,104,114,149,171,183,196],"content":[26],"on":[27,168,210],"the":[28,45,61,79,94,102,106,111,120,147,181,194,197,205],"Internet":[29,62],"may":[30,117],"be":[31],"generated":[32,123,156,175],"by":[33,157,176],"AI.":[34],"Whether":[35],"it":[36],"is":[37,64,90,155,166],"social":[38],"forums":[39],"or":[40],"more":[41,87],"professional":[42,56],"academic":[43],"fields,":[44,57],"abuse":[46],"AI":[48],"has":[49],"become":[50],"a":[51,86],"problem.":[52],"Especially":[53],"some":[55,70,128],"Blindly":[58],"trusting":[59],"what":[60],"says":[63],"dangerous.":[65],"For":[66],"this":[67,136,138],"reason,":[68],"for":[69,127,130,207],"fields":[71],"that":[72],"are":[73],"risky":[74],"and":[75,160,163,187,191],"need":[76],"limit":[78],"use":[80],"AI,":[82],"such":[83],"as":[84],"medicine,":[85],"comprehensive":[88],"benchmark":[89],"needed":[91],"test":[93],"ability":[95],"AI-generated":[97,142,184],"text":[98,143,185],"detection":[99,144,186],"tasks.":[100,201],"Considering":[101],"popularity":[103],"LLMs,":[105],"data":[107,124,172],"distributions":[108],"training":[112],"process":[113],"different":[115,177,200],"LLMs":[116,129],"lead":[118],"differences":[121],"distributions,":[125],"especially":[126],"non-native":[131],"English":[132],"speakers.":[133],"To":[134],"address":[135],"issue,":[137],"article":[139],"introduces":[140],"an":[141],"dataset":[145,154,198,206],"field":[148],"medical":[150],"question":[151],"answering.":[152],"This":[153],"various":[158],"prompting":[161],"methods,":[162],"cross":[164],"validation":[165],"performed":[167],"multiple":[169],"types":[170],"between":[173],"texts":[174],"methods":[178],"verify":[180],"effectiveness":[182],"model":[188],"classification":[189],"tasks,":[190],"study":[193],"generalization":[195],"We":[202],"published":[204],"future":[208],"research":[209],"https://github.com/Hellpoop/MAT.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}